中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope

文献类型:期刊论文

作者Jiang, XP; Gao, ZQ; Zhang, QC; Wang, YQ; Tian, XP; Shang, WT; Xu, FX
刊名MARINE POLLUTION BULLETIN
出版日期2020-01
卷号150页码:110678
ISSN号0025-326X
关键词Green tide Biomass estimation Unmanned aerial vehicle Attached algae Subei shoal
DOI10.1016/j.marpolbul.2019.110678
产权排序[Jiang, Xiaopeng ; Gao, Zhiqiang ; Wang, Yueqi ; Tian, Xinpeng ; Shang, Weitao] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China ; [Zhang, Qingchun] Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China ; [Jiang, Xiaopeng ; Shang, Weitao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China ; [Zhang, Qingchun] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China ; [Zhang, Qingchun] Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China ; [Xu, Fuxiang] Shandong Technol & Business Univ, Sch Publ Adm, Yantai 264005, Peoples R China
文献子类Article
英文摘要Accurate estimation of the biomass of raft-attached green algae is important for predicting the scale of green-tides in the Yellow Sea, China. In this study, two different biomass estimation methods are proposed: green algae attached to nursery-net (GAAN) and green algae attached to rope (GAAR). The GAAN method involves the use of images obtained using an unmanned aerial vehicle (UAV), high-resolution satellite images, and data from a statistical yearbook. The GAAR method uses high-resolution satellite images and data from a field sample survey. The results showed that the biomass of GAAN and GAAR in the Subei Shoal during 2017 was 8868 tons and 2974 tons respectively. A longer-term study of the biomass of GAAN and GAAR could provide quantitative information for the earnings forecasts of Porphyra yezoensis and for green-tide prevention.
WOS关键词LARGEST MACROALGAL BLOOM ; YELLOW SEA ; AQUACULTURE ; PROPAGULES ; TIDES
WOS研究方向Environmental Sciences ; Marine & Freshwater Biology
语种英语
WOS记录号WOS:000509611200029
资助机构NSFC fund project [41876107] ; NSFC-Shandong joint fund project [U1706219] ; Basic Special Program of Ministry of Science and Technology [2014FY210600] ; Aoshan Science and Technology Innovation Program of Qingdao National Laboratory for Marine Science and Technology [2016ASKJ02]
源URL[http://ir.yic.ac.cn/handle/133337/24774]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位1.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China;
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China;
3.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China;
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
5.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China;
6.Shandong Technol & Business Univ, Sch Publ Adm, Yantai 264005, Peoples R China
推荐引用方式
GB/T 7714
Jiang, XP,Gao, ZQ,Zhang, QC,et al. Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope[J]. MARINE POLLUTION BULLETIN,2020,150:110678.
APA Jiang, XP.,Gao, ZQ.,Zhang, QC.,Wang, YQ.,Tian, XP.,...&Xu, FX.(2020).Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope.MARINE POLLUTION BULLETIN,150,110678.
MLA Jiang, XP,et al."Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope".MARINE POLLUTION BULLETIN 150(2020):110678.

入库方式: OAI收割

来源:烟台海岸带研究所

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